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Jasuni69

Microsoft Fabric MCP Server

by Jasuni69

onelake_read

Read file contents from OneLake by specifying the lakehouse and path. Retrieve stored data in Microsoft Fabric for analysis or processing.

Instructions

Read file contents from OneLake.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pathYes
lakehouseYes
workspaceNo

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.1.0

TDQS

C2.9/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

There are no annotations, so the description must disclose behavior itself. 'Read file contents' conveys that this is a non-mutating operation, but it does not state return format, file type handling, size limits, or error behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The single sentence is concise and front-loaded, containing no fluff. It is appropriately short for a simple read operation, though it sacrifices informative content for brevity.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no annotations, no output schema, and three parameters, an agent is left without information about what the read returns, how the workspace parameter affects behavior, or how failures are surfaced. The description is too thin to be fully self-sufficient.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% and the description does not explain the path, lakehouse, or workspace parameters. The parameter names are somewhat self-explanatory, but the tool description adds no semantic detail beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb ('Read') and resource ('file contents from OneLake'), clearly distinguishing it from sibling operations like onelake_ls (listing), onelake_write (writing), and onelake_rm (deleting). The action and target are unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives no guidance on when to use this tool versus its siblings. It neither names alternatives such as onelake_ls for listing or onelake_write for writing, nor states any conditions, prerequisites, or exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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